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Found 5 papers, 2 papers with code
Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training
In this way, our negative instances are fluent, context-related, and more challenging for the model to learn, while can not be positive.
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder
(2) RAR forces the model to reconstruct the original sample from its adversarial representation.
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks
Loading models pre-trained on the large-scale corpus in the general domain and fine-tuning them on specific downstream tasks is gradually becoming a paradigm in Natural Language Processing.
Structure-Enhanced Pop Music Generation via Harmony-Aware Learning
Experimental results reveal that compared to the existing methods, HAT owns a much better understanding of the structure and it can also improve the quality of generated music, especially in the form and texture.
Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora
Further analysis individually proves the effectiveness of the enhanced concept graph and the Edge-Transformer architecture.
